Jackett
A daily indexer-repair treadmill: Jackett patches tracker definitions as fast as trackers change.
A side-by-side editorial comparison of Dependency-Track and Dashy — release velocity, themes, recent moves, and the top alternatives to consider.
A v5 release candidate train carrying a database migrator that has to work on the first try.
Dependency-Track is deep in a 5.0.0 release candidate series, cutting rc.2 through rc.5 within a single week. A large share of every release is the v4-migrator: BIGINT casts during extract, ANALYZE on staging tables before transform, component dedup before joining repo metadata, cross-schema type dependencies, trigger deactivation, permission table bootstrap. Nearly every commit in the window is authored by a single maintainer.
After 4.5.0's drag-and-drop release, the version number is outrunning the product.
Dashy shipped 4.5.0 in late July with drag-and-drop editing and a new widget, and everything since has been patch work. Across the six most recent releases, three are automated dependency bumps, one adds missing German translations, one fixes an out-of-memory crash, and one adds an OIDC post-logout redirect. Releases land every one to three days, each cut from a single pull request. Maintenance is visibly split between the project owner and a dependency bot.
Dependency-Track is deep in a 5.0.0 release candidate series, cutting rc.2 through rc.5 within a single week. A large share of every release is the v4-migrator: BIGINT casts during extract, ANALYZE on staging tables before transform, component dedup before joining repo metadata, cross-schema type dependencies, trigger deactivation, permission table bootstrap. Nearly every commit in the window is authored by a single maintainer.
This is a major version defined by what it removes and how safely it moves people across. rc.2 dropped the compatibility shim translating v4-era alpine.* and unprefixed property names to dt.* equivalents, and made the API server refuse to start on a legacy key rather than silently misconfigure. Around that migration work, the policy engine keeps gaining inputs — component hash mismatch conditions, latest version publish timestamps exposed to CEL — and latest-version detection is being tuned per ecosystem so Maven reports stable releases rather than prereleases.
Expect further release candidates focused on migrator robustness before 5.0.0 goes stable, since four of them in one week were still finding extract and transform bugs in the same code path.
Dashy shipped 4.5.0 in late July with drag-and-drop editing and a new widget, and everything since has been patch work. Across the six most recent releases, three are automated dependency bumps, one adds missing German translations, one fixes an out-of-memory crash, and one adds an OIDC post-logout redirect. Releases land every one to three days, each cut from a single pull request. Maintenance is visibly split between the project owner and a dependency bot.
The cadence follows a repeating shape: a feature release, then a long tail of single-PR patches, and 4.5 is deep into that tail. The human-authored work skews toward self-hosting operations - authentication flows and crash fixes - rather than the dashboard surface itself. That fits a project whose users run their own instance and care most about it staying up between restarts.
Expect the 4.5.x train to keep releasing roughly per merged pull request until a 4.6.0 gathers the next batch of user-facing features; on this evidence the intervening entries will be dependency bumps with occasional auth and stability fixes.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Dependency-Track or Dashy.
A daily indexer-repair treadmill: Jackett patches tracker definitions as fast as trackers change.
Ten days of bulk operations, then the AI assistant got the keys to multi-site access control.
The syslog daemon is quietly becoming an OpenTelemetry-era pipeline, YAML config and all.
Three supported branches, patched in lockstep within the same minute.
The changelog is a raw commit log, and its severity tags tell you more than the prose would.
The eBPF observability tool just started reaching for the GPU.
See all Dependency-Track alternatives → · See all Dashy alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Dashy is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dashy is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top Dependency-Track alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dependency-Track alternatives" section above for the current picks, or visit /alternatives/dependency-track for the full list with editorial commentary on each.
Top Dashy alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dashy alternatives" section above for the current picks, or visit /alternatives/dashy for the full list with editorial commentary on each.